Tools for Data Science
Completed by Daniel Puente Berdasco
July 10, 2024
16 hours (approximately)
Daniel Puente Berdasco's account is verified. Coursera certifies their successful completion of Tools for Data Science
What you will learn
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data toolsÂ
Utilize languages commonly used by data scientists like Python, R, and SQLÂ
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features Â
Create and manage source code for data science using Git repositories and GitHub.Â
Skills you will gain
- Category: Git (Version Control System)
- Category: Data Science
- Category: Scikit Learn (Machine Learning Library)
- Category: Software Development Tools
- Category: R (Software)
- Category: Version Control
- Category: GitHub
- Category: Cloud Services
- Category: Other Programming Languages
- Category: Cloud Hosting
- Category: Cloud API
- Category: Statistical Programming
